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Platform Engineer -Traffic Infrastructure Operation & Maintenance

单位:字节跳动类别:研发类型:社招地点:圣何塞更新:2026-09-24

岗位信息

招聘单位字节跳动
工作地点圣何塞
官方更新时间2025-06-24 05:44:07

职位描述

About the Team

The Global Traffic Infrastructure (GTI) team leverages unified platform capabilities to manage edge infrastructure outside China (both self-built and third-party) providing standardized, compliant, scalable, and cost-effective traffic infrastructure capabilities for edge services. Our vision is to build a global edge traffic infrastructure platform and become the long-term cornerstone of ByteDance’s global edge business in terms of scale, performance, and cost.

Responsibilities

- Responsible for the architecture design and engineering of the "network-traffic infrastructure" operation and maintenance & efficiency platform.

- Responsible for the engineering of the CMDB, operation and maintenance automation, observability, stability, and change management systems for the "network-traffic infrastructure".

- Responsible for the interactive design and system development of the efficiency tools for the "network-traffic infrastructure" business to improve the operational management efficiency.

- Explore the application and implementation of intelligent operation and maintenance scenarios, and promote the intelligent evolution of system operation and maintenance.

任职要求

Minimum Qualifications

- Bachelor's degree or above in computer science or a related field, with at least 3 years of relevant experience in R&D, system operation and maintenance, or SRE.

- Solid foundation in computer theory, with proficiency in at least one programming language such as Go, C, Python, etc.

- Strong analytical and communication skills, strong sense of responsibility and team spirit.

- Passionate about programming, with a strong thirst for knowledge, curiosity and ambition.

Preferred Qualifications:

- Experience in system engineering of large-scale distributed systems, management platforms or operation and maintenance platforms.

- Familiarity with infrastructure architecture, and have a solid understanding of Kubernetes, edge computing, cloud networking, Load Balance, micro-services architecture and other related technologies.

- Solid understanding of distributed systems, micro-services architecture, high availability, stability assurance, and emergency response systems.

- Exploratory experience in LLM large model and Agent development.

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